Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Limburg 6200 MD, Maastricht, the Netherlands.
Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Limburg 6200 MD, Maastricht, the Netherlands; Center for Magnetic Resonance Research, Department of Radiology, United States and Department of NeuroInformatics, University of Minnesota, Minneapolis MN 55455, USA.
Neuroimage. 2023 Aug 15;277:120240. doi: 10.1016/j.neuroimage.2023.120240. Epub 2023 Jun 20.
Previous research on body representation in the brain has focused on category-specific representation, using fMRI to investigate the response pattern to body stimuli in occipitotemporal cortex. But the central question of the specific computations involved in body selective regions has not been addressed so far. This study used ultra-high field fMRI and banded ridge regression to investigate the computational mechanisms of coding body images, by comparing the performance of three encoding models in predicting brain activity in occipitotemporal cortex and specifically in the extrastriate body area (EBA). Our results indicate that bodies are encoded in occipitotemporal cortex and in the EBA according to a combination of low-level visual features and postural features.
先前关于大脑中身体表现的研究集中在类别特异性表现上，使用 fMRI 来研究枕颞皮质中对身体刺激的反应模式。但到目前为止，还没有解决身体选择区域中涉及的特定计算的核心问题。本研究使用超高场 fMRI 和带脊岭回归来研究编码身体图像的计算机制，通过比较三种编码模型在预测枕颞皮质和特别是在额下回（EBA）中的大脑活动的性能来进行研究。我们的结果表明，身体是根据低水平视觉特征和姿势特征的组合在枕颞皮质和 EBA 中进行编码的。
